Snowflake: One Less Pipeline to Build

"We don't want to build another pipeline."

It's a sentiment that comes up constantly with enterprise data teams, and it's easy to see why. Most mature data organizations have standardized on a single cloud data platform, often Snowflake, and every new external data source they bring in tends to mean the same thing: files to download, feeds to manage, and a pipeline for the data team to build and maintain, all before anyone can start using the data.

The work before the work

Most enterprise data teams already have plenty of their own workforce and compensation data sitting in Snowflake. The gap shows up the moment a workforce question needs an outside view too: are you competitive with the external market, where is a given skill set available, who else is competing for the same talent.

Answering that means bringing external labor market data together with your own internal data, and traditionally, that's where things get complicated. Downloading files, managing feeds, or asking your data team to build and maintain another pipeline is a lot of work to do before you've even started answering the workforce question you had.

So the question enterprise data teams are increasingly asking isn't whether they need external labor market data, it's why getting it still has to look like this.

Introducing TalentNeuron on Snowflake

Starting today, TalentNeuron customers who already run Snowflake can access TalentNeuron's labor market data directly inside their own environment, through a governed, read only Snowflake share. That means you can:

• Query TalentNeuron's data directly with SQL and join it against your own workforce, HR, or finance data, without building or maintaining an ingestion pipeline.

• Work across TalentNeuron's full range of intelligence, including job posting, skills, competitor, location, diversity, and taxonomy data, all inside the same environment as your internal data.

• Stay current automatically, since updates flow directly into the share in place, rather than leaving you to repeatedly download, validate, and reload files.

• Manage access the way you already manage everything else in your warehouse, with entitlements scoped by region, dataset, or module, rather than a separate set of permissions to maintain.

Instead of spending time figuring out how to get external data into your systems, your team can spend that time using it, looking at your own workforce and compensation data alongside what's happening in the wider market to make a more informed call. Whether you're deciding where to hire, which skills you'll need next, or how you compare with competitors, the principle is the same: if your internal data is already in Snowflake, TalentNeuron's labor market data can now sit right alongside it.

Want to see it in action? Access TalentNeuron data on the Snowflake Marketplace.